Tampere University of Technology

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Fault detection of elevator systems using deep autoencoder feature extraction

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  1. 2019
  2. Published

    Profile extraction and deep autoencoder feature extraction for elevator fault detection

    Mishra, K., Krogerus, T. & Huhtala, K., 28 Jul 2019, 16th International Conference on Signal Processing and Multimedia Applications: SIGMAP 2019, 26-28 July, 2019, Prague, Czech Republic. Callegari, C. (ed.). 2019 ed. Prague, Czech Republic: SCITEPRESS, Vol. 16. p. 313-320 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Published

    Fault detection of elevator system using profile extraction and deep autoencoder feature extraction for acceleration and magnetic signals

    Mishra, K., Krogerus, T. & Huhtala, K., 5 Jul 2019, 23rd International Conference Information Visualisation: IV 2019, 2-5 July 2019, Paris, France. Bouali, F. (ed.). Paris, France: IEEE, p. 139-144 6 p. (Proceedings : International Conference on Information Visualisation).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  4. Published

    Deep autoencoder feature extraction for fault detection of elevator systems

    Mishra, K., Krogerus, T. & Huhtala, K., 24 Apr 2019, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: ESANN 2019, Bruges (Belgium), 24 - 26 April 2019. Verleysen, M. (ed.). 2019 ed. Bruges (Belgium): i6doc.com publication, Vol. 27. p. 191-196 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review